Based on 40 comparable players
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | SMLIIGA-W | 18 | 18 | 2 | 20 | 1.111 | 0.4321 | 0.4321 |
| 2024-25 | Skellefteå AIK | SDHL | 32 | 13 | 11 | 24 | 0.750 | 0.8771 | 0.8146 |
| 2025-26 | Skellefteå AIK | SDHL | 35 | 10 | 13 | 23 | 0.657 | 0.7685 | 0.6843 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Maine | HEA-W | GR | 35 | 21 | 18 | 39 | 1.114 |
| 2022-23 | Maine | HEA-W | SR | 35 | 7 | 8 | 15 | 0.429 |
| 2021-22 | Maine | HEA-W | JR | 35 | 10 | 14 | 24 | 0.686 |
| 2020-21 | Maine | HEA-W | SO | 16 | 10 | 5 | 15 | 0.938 |
| 2019-20 | Maine | HEA-W | FR | 35 | 19 | 14 | 33 | 0.943 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Shayna Tomlinson | NE-Prep-Girls · 2012-13 · 2.08 PPG | 0.531 | Rensselaer |
| Jessie Aney | USHS-MN-W · 2013-14 · 4.36 PPG | 0.267 | UConn |
| Brooke Avery | NE-Prep-Girls · 2012-13 · 2.00 PPG | 0.062 | New Hampshire |
| Nicole Schammel | USHS-MN-W · 2012-13 · 4.16 PPG | 0.611 | Minnesota State |
| Caitrin Lonergan | NE-Prep-Girls · 2012-13 · 2.44 PPG | 0.892 | Boston College |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Madelynn Jablonski | 2018-19 · 2.59 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Amy Budde | 2014-15 · 1.40 PPG | 0.923 | Lake Forest | NCHA |
| Bella Wagner | 2014-15 · 2.24 PPG | 0.579 | Wisconsin-River Falls | WIAC |
| Sophie Rausch | 2014-15 · 0.96 PPG | 1.346 | Hamline | MIAC |
| Erica Power | 2011-12 · 1.24 PPG | 1.038 | Gustavus Adolphus | MIAC |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.